LLMs are fundamentally chaotic and unpredictable. They cannot do anything reliably.

almost everything he says is reasonable and correct though. using AI does undermine understanding, and companies hiring less juniors will be the death of them. Also juniors using AI will be the death of deep understanding if they continue. Robots fixing cars is not an apt analogy because it's a rote task. LLMs are being used for far beyond rote tasks and that's where the danger lies. People forget that most frustration and struggle are crucial, not something to remove. And people especially beginners do not have the judgement to know when struggling is appropriate.

By analogy, you can imagine a mid-century human computer shouting "I will never use computing machines to perform numerical calculations! I must perform every addition by hand!" You can even imagine a commune forming around "hand-made calculation" and trying to sell services that are certified "automation-free".

not the best analogy. It's like industry has an ox pulling a plow and we just check back at the end of the day to see what's happened to the field.

> People used to drive manual. Now it’s all automatic transmission.

Maybe in the USA. Here in Czechia, people generally hate automatic transmission cars.

> People used to proudly use Vi to write code. But now IDE is commonplace.

Plenty of developers use Vim and Neovim, which have numerous advantages over “modern” IDEs.

> People used to proudly use Vi to write code. But now IDE is commonplace.

this is funny because I met many software developers who did not have a, let's call it "Unix hacker background", who only ever used Git through an IDE. Now sometimes when they need to log into some system and use the commandline they are lost because they are neither familiar with a shell environment (readline and stuff) nor the Git commands.

I guess you can work that way but that's not for me, because I want to understand stuff. Of course I also use an IDE but I don't rely on it.